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dc.contributor.authorKonopík, Miloslav
dc.date.accessioned2016-06-23T10:38:44Z
dc.date.available2016-06-23T10:38:44Z
dc.date.issued2006
dc.identifier.urihttp://www.kiv.zcu.cz/publications/
dc.identifier.urihttp://hdl.handle.net/11025/21589
dc.format61 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemia in Pilsenen
dc.rights© University of West Bohemia in Pilsenen
dc.subjectautomatické rozpoznávání řečics
dc.subjectaplikacecs
dc.subjectsémantickacs
dc.titleStochastic semantic parsing: technical report no. DCSE/TR-2006-01en
dc.typezprávacs
dc.typereporten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe recent achievements in the area of automatic speech recognition started the development of speech enabled applications. Currently it is beginningto be insufficient to merely recognize an utterance. The applications are demanding to understand the meaning of the utterance. Semantic analysis (or semantic parsing) is a part of the natural language understanding process. The goal of semantic analysis is to represent what the subject intended to say. The thesis summarizes aspects of semantic analysis with emphasis on the stochastic approach to semantic analysis. Fundamental stochastic models along with the training and evaluation of these models are explained in details. Since, the performance of the system is significantly influenced by the way of preprocessing, it is also described in the thesis.en
dc.subject.translatedautomatic speech recognitionen
dc.subject.translatedapplicationen
dc.subject.translatedsemanticsen
Vyskytuje se v kolekcích:Zprávy / Reports (KIV)

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